Taiga Cloud

About Taiga Cloud

This company provides cloud-based GPU infrastructure for AI and machine learning, offering flexible access to computing power. Their liquid cooling solutions optimize GPU performance and efficiency, reducing operational costs for users.

```xml <problem> Organizations require significant computational resources to train and deploy AI and machine learning models, but procuring and maintaining dedicated GPU infrastructure can be prohibitively expensive and complex. Traditional cloud providers may not offer the specialized hardware or energy efficiency needed for demanding AI workloads. </problem> <solution> Taiga Cloud provides on-demand access to a large fleet of NVIDIA GPUs, including H100, H200, A100, and A6000 models, via a self-service portal or API. As Europe's largest dedicated AI cloud service provider, Taiga Cloud enables users to rapidly scale compute power for AI model training, inference, and high-performance computing tasks. The company's data centers are powered by clean energy and feature liquid cooling technology to optimize GPU performance and reduce operational costs. Taiga Cloud ensures data sovereignty by storing and processing data exclusively within Europe. </solution> <features> - Access to over 20,000 NVIDIA H100 Tensor Core GPUs and 2,000 NVIDIA H200 Tensor Core GPUs - Self-service portal and API for on-demand GPU provisioning - Clean-energy-powered data centers with high sustainability standards - Liquid cooling solutions for optimized GPU performance and efficiency - Secure and compliant infrastructure with data stored and processed exclusively in Europe - Support for AI model training, inference, and high-performance computing </features> <target_audience> The primary target audience includes AI/ML researchers, data scientists, and enterprises requiring scalable GPU resources for computationally intensive workloads. </target_audience> ```

What does Taiga Cloud do?

This company provides cloud-based GPU infrastructure for AI and machine learning, offering flexible access to computing power. Their liquid cooling solutions optimize GPU performance and efficiency, reducing operational costs for users.

Where is Taiga Cloud located?

Taiga Cloud is based in Dublin, Ireland.

Location
Dublin, Ireland
Employees
15 employees

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Taiga Cloud

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Executive Summary

This company provides cloud-based GPU infrastructure for AI and machine learning, offering flexible access to computing power. Their liquid cooling solutions optimize GPU performance and efficiency, reducing operational costs for users.

taigacloud.com1K+
Dublin, Ireland

Funding

No funding information available.

Team (15+)

No team information available.

Company Description

Problem

Organizations require significant computational resources to train and deploy AI and machine learning models, but procuring and maintaining dedicated GPU infrastructure can be prohibitively expensive and complex. Traditional cloud providers may not offer the specialized hardware or energy efficiency needed for demanding AI workloads.

Solution

Taiga Cloud provides on-demand access to a large fleet of NVIDIA GPUs, including H100, H200, A100, and A6000 models, via a self-service portal or API. As Europe's largest dedicated AI cloud service provider, Taiga Cloud enables users to rapidly scale compute power for AI model training, inference, and high-performance computing tasks. The company's data centers are powered by clean energy and feature liquid cooling technology to optimize GPU performance and reduce operational costs. Taiga Cloud ensures data sovereignty by storing and processing data exclusively within Europe.

Features

Access to over 20,000 NVIDIA H100 Tensor Core GPUs and 2,000 NVIDIA H200 Tensor Core GPUs

Self-service portal and API for on-demand GPU provisioning

Clean-energy-powered data centers with high sustainability standards

Liquid cooling solutions for optimized GPU performance and efficiency

Secure and compliant infrastructure with data stored and processed exclusively in Europe

Support for AI model training, inference, and high-performance computing

Target Audience

The primary target audience includes AI/ML researchers, data scientists, and enterprises requiring scalable GPU resources for computationally intensive workloads.

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